Evidence map›Paper›PMID 34228902›Full record

ArticleThe FEBS journal2021

Identification of a special cell type as a determinant of the kidney tropism of SARS-CoV-2.

Hongchun Lin, Xinxin Ma, Fang Xiao, Hua Su, Yaling Shi, Yuntao Liu, Lan Song, Zhongde Zhang, Chun Zhang, Hui Peng

Open access · bronzeAbstract read
In one paragraph

Article in The FEBS journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Insights into auto-RSC chemical biology · 2021
    Review
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 1 country.

Hongchun LinNephrology Division, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Xinxin MaNephrology Division, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Fang XiaoDepartment of Cadres Medical Care and Geriatrics, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Hua SuDepartment of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yaling ShiGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Yuntao LiuDepartment of Emergency, the Second Affiliated Hospital of Guangzhou University of Chinese Medicine, China.
Lan SongState Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of LifeOmics, China.
Zhongde ZhangDepartment of Emergency, the Second Affiliated Hospital of Guangzhou University of Chinese Medicine, China.
Chun ZhangDepartment of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Hui PengNephrology Division, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.ORCID 0000-0002-0220-3616
Sun Yat-sen University · CNGuangzhou University of Chinese Medicine · CNUnion Hospital · CNBeijing Proteome Research Center · CNGuangzhou Eighth People's Hospital · CNSecond Hospital of Shandong University · CN

Funding

Foundation for Talent Scientific ResearchGuangdong Provincial Key Laboratory of Research on Emergency in TCM 2017B030314176National Key Research and Development 2020YFA0708001National Natural Science Foundation of China 81873613Science and Technology Program of Guangzhou, China 201807010037Special Support Plan for High-Level Talents of Guangdong Province
6 · The paper itself

Abstract

The kidney tropism of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been well-validated clinically and often leads to various forms of renal damage in coronavirus disease-2019 (COVID-19) patients. However, the underlying mechanisms and diagnostic approaches remain to be determined. We interrogated the expression of virus-related host factors in single-cell RNA sequencing (scRNA-seq) datasets of normal human kidneys and kidneys with pre-existing diseases and validated the results with urinary proteomics of COVID-19 patients and healthy individuals. We also assessed the effects of genetic variants on kidney susceptibility using expression quantitative trait loci (eQTLs) databases. We identified a subtype of tubular cells, which we named PT-3 cells, as being vulnerable to SARS-CoV-2 infections in the kidneys. PT-3 cells were enriched in viral entry factors and replication and assembly machinery but lacked antiviral restriction factors. Immunohistochemistry confirmed positive staining of PT-3 cell marker SCL36A2 on kidney sections from COVID-19 patients. Urinary proteomic analyses of COVID-19 patients revealed that markers of PT-3 cells were significantly increased, along with elevated viral receptor angiotensin-converting enzyme 2. We further found that the proportion of PT-3 cells increased in diabetic nephropathy but decreased in kidney allografts and lupus nephropathy, suggesting that kidney susceptibility varied among these diseases. We finally identified several eQTLs that regulate the expression of host factors in kidney cells. PT-3 cells may represent a key determinant for the kidney tropism of SARS-CoV-2, and detection of PT-3 cells may be used to assess the risk of renal infection during COVID-19.

Indexed as

ProteomicsAngiotensin-Converting Enzyme 2Antiviral AgentsBase SequenceCOVID-19Diabetic NephropathiesGene Expression RegulationHost-Pathogen InteractionsHumansKidneyQuantitative Trait LociReceptors, VirusSARS-CoV-2Single-Cell AnalysisTropismVirus InternalizationAngiotensin-Converting Enzyme 2Antiviral AgentsReceptors, Viruschronic kidney diseaseCOVID-19diabetic kidney diseaseSARS-CoV-2scRNA-seq

Identifiers

PMID34228902
PMCPMC8420455
OpenAlexW3182918972

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.